Steam Store Scraper - Games, Prices & Discounts

Scrape the Steam store catalogue in bulk. Extract game title, app ID, price, discount percentage, original price, release date, platforms, review summary and tags to CSV/JSON. No API key, no login.

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What does the Steam Scraper do?

This Actor turns any Steam search into a structured dataset. You give it by search term or across the whole store, it walks the result pages one after another, and it writes one clean row per game into your dataset — ready to export as JSON, CSV or Excel, or to pull straight from the Apify API.

Steam's own storefront search is driven by an endpoint that returns a JSON envelope with the result rows inside it, and the Actor reads that directly. It reports a true total — over 284,000 titles for an unfiltered search — so paging is bounded by real data rather than guesswork. Pagination is followed automatically until it runs out of results, hits your page limit or hits your Max items cap, whichever comes first. Every row is de-duplicated across the whole run, so you are never billed twice for the same game.

There is no API key, no login and no browser involved. That keeps runs fast and cheap, and it means you can schedule the Actor without worrying about credentials expiring.

Who is it for?

• Game publishers and studios benchmarking pricing and discounting against competitors.
• Market analysts tracking how a genre is priced across a whole catalogue.
• Price-tracking products that need a reliable feed of store prices and discounts.
• Storefront and key resellers monitoring where titles sit on discount.
• Researchers building datasets of game metadata, tags and review sentiment.

Use cases

• Export an entire genre and analyse how it is priced and discounted.
• Track a publisher's catalogue through a seasonal sale week by week.
• Find titles currently discounted beyond a threshold.
• Build a tag-to-price map to understand what a genre commands.
• Assemble a catalogue dataset with review summaries for modelling.

Why use this Steam Scraper?

• 🔑 Keyless — no account, no API token, no cookies to paste.
• 📦 20 fields per game — everything the result page exposes, already typed.
• 📄 Real pagination — it walks page after page instead of returning the first screen.
• 🎯 Precise caps — Max items stops the run exactly where you want it, so the bill is predictable.
• 📊 Export anywhere — JSON, CSV, Excel or HTML, plus the Apify API and integrations.
• 💸 Pay per result — you pay for rows you actually receive, with no platform fees to calculate.

What data can you extract?

Every run produces one row per game, with these fields:

Field	Type	Description
appId	string	Steam application ID
title	string	Game title
storeUrl	string	Steam store page URL
price	number	Current price as a number
priceLabel	string	Price exactly as Steam displays it
originalPrice	number	Pre-discount price when the title is on sale
discountPercent	number	Discount percentage, zero when not on sale
isFree	boolean	Whether the title is free to play
currency	string	Currency of the prices
releaseDate	string	Release date as published on the store
reviewSummary	string	Review summary, e.g. Very Positive
reviewPercent	number	Percentage of reviews that are positive
reviewCount	number	Number of reviews behind the summary
platformWindows	boolean	Whether a Windows build is offered
platformMac	boolean	Whether a macOS build is offered
platformLinux	boolean	Whether a Linux build is offered
imageUrl	string	Capsule image URL
searchTerm	string	Search or category this row came from
page	number	Result page the game appeared on
scrapedAt	string	ISO timestamp of extraction

Output example

{
  "appId": "1850510",
  "currency": "$",
  "discountPercent": 0,
  "imageUrl": "https://shared.fastly.steamstatic.com/store_item_assets/steam/apps/1850510/9ccd5cf7c6863a1973a5f5fd43bf4e90d62a510d/capsule_231x87.jpg?t=1775028430",
  "isFree": false,
  "originalPrice": null,
  "page": 1,
  "platformLinux": false,
  "platformMac": false,
  "platformWindows": true,
  "price": 59.99,
  "priceLabel": "$59.99",
  "releaseDate": "Oct 13, 2022",
  "reviewCount": 1486,
  "reviewPercent": 77,
  "reviewSummary": "Mostly Positive",
  "scrapedAt": "2026-09-14T07:51:35.478Z",
  "searchTerm": "strategy",
  "storeUrl": "https://store.steampowered.com/app/1850510/TRIANGLE_STRATEGY/",
  "title": "TRIANGLE STRATEGY"
}

How to use

Option A — by search term

{
  "maxItems": 500,
  "maxPagesPerSearch": 10,
  "searchTerms": [
    "strategy",
    "roguelike"
  ]
}

1. Open the Actor and fill in the search term field.
2. Set Max pages per search and Max items to bound the run.
3. Click Start, then export from the Output tab.

Option B — across the whole store

{
  "maxItems": 1000,
  "maxPagesPerSearch": 20,
  "searchTerms": []
}

Paste one or more Steam URLs into Start URLs and the Actor paginates each of them independently.

Input parameters

Parameter	Type	Default	Description
searchTerms	array	–	What to search on the Steam store.
maxPagesPerSearch	integer	4	How many result pages to walk for each search.
maxItems	integer	200	Stop after this many games.
maxConcurrency	integer	2	Parallel requests.
proxyConfiguration	object	{"useApifyProxy": true}	Proxy used to fetch pages.

Tips for best results

• Leave the search term empty to walk the whole store; Steam reports over 284,000 titles.
• Steam returns 50 rows per request, so a 20-page run yields roughly 1,000 games.
• Use Max items rather than Max pages when you want a predictable bill.
• discountPercent is zero for full-price titles — that is a fact, not a missing value.
• Prices follow the store region the run exits from; keep it fixed across runs you compare.
• Schedule a daily run during a Steam sale to capture the discount curve.
• reviewPercent and reviewCount together are a far better signal than the summary text alone.
• Free-to-play titles report a zero price and isFree true.
• Keep Max concurrency low — the storefront throttles bursts.
• Pair with the CheapShark scraper to see where the same title is cheaper elsewhere.

Integrations

Send results straight into the tools you already use: Google Sheets, Slack, Zapier, Make, Airtable or any Webhook. You can also schedule the Actor to run hourly, daily or weekly and have each run append to the same dataset, which is how you build a price or availability history rather than a one-off snapshot.

API usage

Run the Actor and collect results from any language. Replace <YOUR_TOKEN> with your Apify API token.

cURL

curl -X POST "https://api.apify.com/v2/acts/logiover~steam-store-scraper/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 500, "maxPagesPerSearch": 10, "searchTerms": ["strategy", "roguelike"]}'

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_TOKEN>' });
const run = await client.actor('logiover/steam-store-scraper').call({"maxItems": 500, "maxPagesPerSearch": 10, "searchTerms": ["strategy", "roguelike"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient('<YOUR_TOKEN>')
run = client.actor('logiover/steam-store-scraper').call(run_input={"maxItems": 500, "maxPagesPerSearch": 10, "searchTerms": ["strategy", "roguelike"]})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Use with AI agents (MCP)

This Actor is available through the Apify MCP server, so an AI agent can call it as a tool. Point your agent at https://mcp.apify.com and it can run the Steam Scraper on demand — for example: "Pull the first 500 games from Steam and summarise the price distribution." The agent receives the same structured rows you would get from the UI.

FAQ

Do I need a Steam account or API key?

No. The Actor reads publicly available pages only. There is nothing to authenticate and no credentials to rotate.

How many games can I get in one run?

As many as the search exposes. Raise Max pages per search and Max items together; the run stops at whichever limit it reaches first.

Why did I get fewer rows than I asked for?

The search ran out of games. That is normal for narrow queries — broaden the search or add more searches to one run.

Are results de-duplicated?

Yes. Each game is emitted once per run, even when it appears on several pages, so you are never billed twice for the same record.

Why are some fields empty?

Steam does not publish every attribute for every game. Empty means the source did not show it, not that extraction failed.

What export formats are supported?

JSON, CSV, Excel, HTML and RSS from the Output tab, plus the Apify API and any integration you connect.

How fast is it?

It is pure HTTP with no browser, so a page of results typically takes a second or two. Raise Max concurrency carefully — the source rate-limits aggressive crawling.

Can I schedule it?

Yes. Use the Apify scheduler to run it on any interval and append each run to the same dataset for time-series analysis.

Does it work behind a proxy?

It uses Apify Proxy automatically. You can switch groups or supply your own proxies in Proxy configuration.

How often does the data change?

Steam updates continuously. Re-run whenever you need current data; the Actor always reads the live pages, never a cache.

Is the output schema stable?

Yes. Field names and types are fixed, so downstream pipelines will not break between runs.

What if the site changes its layout?

Open an issue on the Issues tab and it gets fixed. The Actor is actively maintained.

Is it legal?

This Actor reads only publicly available pages on Steam — the same content any visitor sees without logging in. It does not bypass authentication, does not collect private data and does not attempt to defeat access controls. You are responsible for how you use the output: respect the source's terms of service, applicable copyright, and data-protection law such as GDPR where personal data is involved. Scraping public data is generally lawful in the EU and the US, but the responsibility for the downstream use of that data sits with you.

Related scrapers

• GOG Scraper — DRM-free catalogue and pricing
• Game Deals Scraper — Cross-store price comparison
• Steam Game Reviews — Player reviews at scale
• SteamSpy Scraper — Ownership and playtime estimates